Evidence map›Paper›PMID 28138061›Full record

ArticleRNA (New York, N.Y.)2017

Pseudouridine and

Pavanapuresan P Vaidyanathan, Ishraq AlSadhan, Dawn K Merriman, Hashim M Al-Hashimi, Daniel Herschlag

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Pseudouridine synthase 7 as a context-specific therapeutic target in cancer.The Journal of pharmacology and experimental therapeutics · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Functions and therapeutic applications of pseudouridylation.Nature reviews. Molecular cell biology · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Pavanapuresan P VaidyanathanDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.ORCID 0000-0001-6764-3666
Ishraq AlSadhanDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.
Dawn K MerrimanDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Hashim M Al-HashimiDepartment of Chemistry, Duke University, Durham, North Carolina 27708, USA.
Daniel HerschlagDepartment of Biochemistry, Stanford University, Stanford, California 94305, USA.
Stanford University · USDuke University · US

Funding

Time-resolved small angle X-ray scatteringP01GM066275 · NIGMS · STANFORD UNIVERSITY · PI HERSCHLAG, DANIEL · 2003 to 2017
$17.8M
NIGMS NIH HHS P01 GM066275
6 · The paper itself

Abstract

RNA modifications are ubiquitous in biology, with over 100 distinct modifications. While the vast majority were identified and characterized on abundant noncoding RNA such as tRNA and rRNA, the advent of sensitive sequencing-based approaches has led to the discovery of extensive and regulated modification of eukaryotic messenger RNAs as well. The two most abundant mRNA modifications-pseudouridine (Ψ) and

Indexed as

AdenosineGene Expression RegulationHumansProtein BindingPseudouridineRNARNA-Binding ProteinsAdenosineN-methyladenosinePseudouridinePUM2 protein, humanRNARNA-Binding ProteinsepitranscriptomicsN6-methyladenosinepseudouridinePUMILIORNA binding proteinsRNA–protein interactions

Identifiers

PMID28138061
PMCPMC5393172
OpenAlexW2580590280

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.